Table 4.
Themes emerged from the review.
| Theme | Pointer | Details | Source |
|---|---|---|---|
| Generative AI in Education | Adaptability to Medical Ed. | Generative AI, like ChatGPT, is adaptable to various levels of medical education and can be extended to patient and public health education. | Zhang et al[15] |
| Medical Education Publications | Growing Interest | The JMIR theme issue on generative language models in medical education attracted a range of submissions, indicating a significant interest in the topic. | |
| Competency Framework for Personalized Precision Medicine | Determinants of Health | – Molecular to psychosocial disease mechanisms | Martin et al[16] |
| Biomedical Informatics | – Data distinction, management, privacy, and analysis | ||
| Practical Applications | – Omics technologies, biomarkers, pharmacogenetics, AI, and genetic counseling | ||
| Participatory Health | – Patient involvement and communication skills | ||
| Bioethics | – Ethical principles and data handling in precision medicine | ||
| Transversal Competencies | – Management, leadership, and cross-disciplinary collaboration |